Name
Abstract | ||
|---|---|---|
Light-field (LF) is foreseen as an enabler for the next generation of 3D/AR/VR experiences. However, lack of unified representation, storage and processing formats, variant LF acquisition systems and capture-specific LF processing algorithms prevent cross-platform approaches and constrain the advancement and standardization process of the LF information. In this work we present our vision for camera-agnostic format and processing of LF data, aiming at a common ground for LF data storage, conununication and processing. As a proof-of-concept for camera-agnostic pipeline, we present a new and efficient LF storage format (for 4D rays) and demonstrate feasibility of camera-agnostic LF processing. To do so, we implement a camera-agnostic depth extraction method. We use LF data from a camera-rig acquisition setup and several synthetic inputs including plenoptic and non-plenoptic captures, to emphasize the camera-agnostic nature of the proposed LF storage and processing pipeline. |
Year | Venue | Keywords |
|---|---|---|
2017 | 2017 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW) | light-field, camera-agnostic, object-space processing, storage format |
Field | DocType | ISSN |
Computer vision,Computer science,Computer data storage,Integrated optics,Transform coding,Light field,Artificial intelligence,Standardization,Optical imaging,Adaptive optics | Conference | 2330-7927 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mitra Damghanian | 1 | 4 | 1.93 |
| Paul Kerbiriou | 2 | 1 | 0.68 |
| Valter Drazic | 3 | 13 | 3.41 |
| Didier Doyen | 4 | 5 | 2.96 |
| Laurent Blondé | 5 | 45 | 6.97 |